A Vision-based System for Social Insect Tracking-Reference-Cited by-同舟云学术

A Vision-based System for Social Insect Tracking

Published:2022-12-09 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)
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Author:

Žampachů Kristi¹,Ulrich Jiří¹,Rouček Tomáš¹,Stefanec Martin²,Dvořáček Dominik¹,Fedotoff Laurenz²,Hofstadler Daniel Nicolas²,Rekabi-Bana Fatemeh³,Broughton George¹,Arvin Farshad³,Schmickl Thomas²,Krajník Tomáš¹

Affiliation:

1. Czech Technical University in Prague,Faculty of Electrical Engineering,Prague,Czech Republic

2. University of Graz,Artificial Life lab,Graz,Austria

3. University of Durham,Swarm & Comp. Int. Lab.,Dept. of CS,Durham,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10092949/10092953/10092977.pdf?arnumber=10092977

Reference28 articles.

1. Standard methods for behavioural studies ofApis mellifera

2. Mechatronics designs for multi robots-insect swarms interactions;rekabi-bana;IEEE International Conference on Mechatronics,2023

3. The Real-Time Detection of Traffic Participants Using YOLO Algorithm

4. Color Vision Honey Bees: Phenomena and Physiological Mechanisms

5. New components of the honey bee (Apis mellifera L.) queen retinue pheromone

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